Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Machine Learning and Data Science Engineering Intern role.

Rezi rewrites your resume against Graphcore Early Careers's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Machine Learning and Data Science Engineering Intern posting at Graphcore Early Careers — free, in seconds.

About the Role

As a Machine Learning and Data Science Engineer Intern, you will apply data science and machine learning methods to operational telemetry from data center facilities and engineering infrastructure. Working with experienced engineers, you will explore real-time and historical data, develop and evaluate predictive analyses, and communicate findings that can support reliable operations and informed engineering decisions. The internship combines practical analysis, prototype development, and exposure to real-world infrastructure data.

Responsibilities

Work with Facilities Reliability Engineering team members to define operational questions that can be addressed through data analysis and machine learning.
Collect, prepare, clean, and explore telemetry datasets under the guidance of experienced team members.
Analyze real-time and historical telemetry to identify patterns, trends, correlations, anomalies, and data-quality issues.
Develop and evaluate predictive models that may help anticipate operational events, trends, or conditions.
Apply appropriate statistical, data science, and machine learning methods to clearly defined operational problems.
Use Python and relevant libraries to create reproducible analyses, experiments, visualizations, and prototype solutions.
Evaluate model performance using appropriate metrics and document the assumptions, limitations, and uncertainty of each approach.
Support repeatable data-processing and analytics workflows that other team members can understand and reproduce.
Collaborate with engineers to validate analytical findings against operational knowledge and incorporate feedback into subsequent work.
Present progress, findings, and recommendations clearly and seek guidance when encountering unfamiliar or complex problems.

Requirements

Current enrollment at the junior or senior level in a bachelor's degree program, or enrollment in a master's degree program, in data science, artificial intelligence, machine learning, computer science, statistics, or a closely related field.
Foundational knowledge of machine learning, statistics, and data analysis gained through coursework, research, projects, or practical experience.
Programming experience in Python and familiarity with common data-analysis libraries.
Experience preparing, exploring, analyzing, and visualizing datasets.
Understanding of supervised machine learning concepts, including regression, classification, model training, and model evaluation.
A methodical approach to technical problems and the ability to use data to support conclusions.
Clear written and verbal communication skills, including the ability to explain analytical findings to technical colleagues.
Ability to collaborate, respond constructively to feedback, organize assigned work, and seek guidance when needed.

Skills

Python
Data analysis libraries
Machine learning
Statistics
Data analysis
Supervised machine learning
Regression
Classification
Model training
Model evaluation
Time-series analysis
Forecasting
Anomaly detection
Real-time data
Streaming data
Telemetry data
Sensor data
Pandas
NumPy
Scikit-learn
PyTorch
SQL
Data visualization
Dashboards
Technical summaries

Location

Austin

Work Type

Internship

Experience Level

Intern

Education Level

Bachelor's degree program (junior or senior level)
Master's degree program

About the Company

Graphcore is a global leader in artificial intelligence computing systems.
We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption.
As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies.
Our AI Engineering Campus in Austin supports the infrastructure used to develop and test the next generation of AI systems.

Equal Opportunity

Graphcore is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable law.
Graphcore is committed to an inclusive and accessible hiring process. If you need a reasonable accommodation to participate in the application or interview process, please let the recruiting team know.
Personal information submitted during the recruiting process will be handled in accordance with Graphcore's applicable candidate privacy notices.